Authors :
Dr. V. Dhinesh; Dr. K. Balasankari; Dr. C. Ilayanila; Dr. M. Sandhiya; Dr. Vinoth . K; Dr. M. Sathish Kumar
Volume/Issue :
Volume 8 - 2023, Issue 8 - August
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/2yxu4kpu
DOI :
https://doi.org/10.5281/zenodo.8308098
Abstract :
Artificial intelligence (AI) are a wide range of
new technologies that continue to have an impact on
daily life. The advancement of AI allows for the analysis
of large amounts of data, which gives reliable
information and enhances decision-making. AI will most
likely change the way we live and work. In the last
decade, the exponential increase of knowledge in the
field of AI and its branches has provided new potential
for its application in healthcare, including oral
pathology. The successful application of these strong
technologies in pathology and medicine necessitates
cross-disciplinary literacy, which includes basic
knowledge and awareness of ideas that oral pathologists
have historically been unfamiliar with. This article
includes definitions and basic knowledge of AI and its
component branches such as machine learning, artificial
neural networks and deep learning. This review
enlightens the possible applications of AI and the
associated challenges in mainstream oral pathological
research and diagnosis.
Keywords :
Artificial intelligence; Machine learning; Implications in Oral pathology.
Artificial intelligence (AI) are a wide range of
new technologies that continue to have an impact on
daily life. The advancement of AI allows for the analysis
of large amounts of data, which gives reliable
information and enhances decision-making. AI will most
likely change the way we live and work. In the last
decade, the exponential increase of knowledge in the
field of AI and its branches has provided new potential
for its application in healthcare, including oral
pathology. The successful application of these strong
technologies in pathology and medicine necessitates
cross-disciplinary literacy, which includes basic
knowledge and awareness of ideas that oral pathologists
have historically been unfamiliar with. This article
includes definitions and basic knowledge of AI and its
component branches such as machine learning, artificial
neural networks and deep learning. This review
enlightens the possible applications of AI and the
associated challenges in mainstream oral pathological
research and diagnosis.
Keywords :
Artificial intelligence; Machine learning; Implications in Oral pathology.
